Showing 1–20 of 70 results
/ Date/ Name
Jul 4, 2024Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language ModelsMar 8, 2024Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis AgentsNov 15, 2023Thread of Thought Unraveling Chaotic ContextsAug 24, 2023A Parse-Then-Place Approach for Generating Graphic Layouts from Textual DescriptionsFeb 23, 2023Does Deep Learning Learn to Abstract? A Systematic Probing FrameworkMay 23, 2023Skill-Based Few-Shot Selection for In-Context LearningOct 11, 2024AMPO: Automatic Multi-Branched Prompt OptimizationOct 11, 2024StraGo: Harnessing Strategic Guidance for Prompt OptimizationJun 2, 2024Automatic Instruction Evolving for Large Language ModelsApr 25, 2024Make Your LLM Fully Utilize the ContextOct 31, 2023Learning From Mistakes Makes LLM Better ReasonerNov 11, 2023LayoutPrompter: Awaken the Design Ability of Large Language ModelsDec 21, 2023Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural LanguageNov 8, 2023Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence AnalysisSep 12, 2023Re-Reading Improves Reasoning in Large Language ModelsMay 8, 2023How Do In-Context Examples Affect Compositional Generalization?Feb 3, 2020How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in ContextOct 26, 2021Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in TextDec 8, 2020Revisiting Iterative Back-Translation from the Perspective of Compositional GeneralizationJun 18, 2020Compositional Generalization by Learning Analytical Expressions